Course syllabus
Statistics, Survey Sampling, Second Cycle, 7.5 credits
Course code: | ST425A | Credits: | 7.5 |
---|---|---|---|
Main field of study: | Statistics | Progression: | A1F |
Last revised: | 09/09/2020 | ||
Education cycle: | Second cycle | Approved by: | Head of school |
Established: | 01/11/2019 | Reading list approved: | 09/09/2020 |
Valid from: | Spring semester 2021 | Revision: | 1 |
Aims and objectives
General aims for second cycle education
Second-cycle courses and study programmes shall involve the acquisition of specialist knowledge, competence and skills in relation to first-cycle courses and study programmes, and in addition to the requirements for first-cycle courses and study programmes shall
- further develop the ability of students to integrate and make autonomous use of their knowledge
- develop the students' ability to deal with complex phenomena, issues and situations, and
- develop the students' potential for professional activities that demand considerable autonomy, or for research and development work.
(Higher Education Act, Chapter 1, Section 9)
Course objectives
Knowledge and Understanding
After completed studies, the student shall have
- knowledge and understanding of design based and model assisted survey sampling theory: designs and estimators of finite population parameters.
Competence and Skills
After completed studies, the student shall be able to
- choose an appropriate combination of sampling design and assisting model for estimation of a given population parameter and available auxiliary information
- deal with linear as well as non-linear estimation situations.
Judgement and Approach
After completing the course, the student shall have the ability to
- critically evaluate and compare combinations of sampling designs and strategies for estimation.
Main content of the course
- Poisson sampling, simple random sampling, systematic sampling, sampling with inclusion probabilities proportional to size, stratified sampling
- Cluster sampling
- Multistage sampling
- Two-phase sampling
- Estimators: The Horvitz-Thompson estimator, ratio estimators, regression estimators
- Domain estimation.
Teaching methods
Teaching is in English and in the form of lectures and tutorials.
Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.
Examination methods
Written Examination, 7.5 credits (Code: A001)
Individual written examination
For students with a documented disability, the university may approve applications for adapted or other forms of examinations.
For further information, see the university's local examination regulations (in Swedish).
Grades
According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may prescribe which grading system shall apply. The grade is to be determined by a teacher specifically appointed by the university (an examiner).
In accordance with university regulations regarding grading systems for first and second-cycle courses (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades shall be used: Fail (U), Pass (G) or Pass with Distinction (VG). For courses that are included in an international Master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the grading scale of A-F shall be used. The vice-chancellor, or a person appointed by the vice-chancellor, may decide on exceptions from this provision for a specific course, if there are special grounds.
Grades used on course are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).
Written Examination
Grades used are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).
For further information, see the university's local examination regulations (in Swedish).
Specific entry requirements
First-cycle courses of 90 credits in statistics, including an independent project of 15 credits, alternatively 30 credits are for studies in statistics and 60 credits for mathematics, as well as the course Statistics, Statistical Theory, second cycle, 7.5 credits. The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.
For further information, see the university's admission regulations (in Swedish).
Transfer of credits for previous studies
Students who have previously completed higher education or other activities are, in accordance with the Higher Education Ordinance, entitled to have these credited towards the current programme, providing that the previous studies or activities meet certain criteria.
For further information, see the university's local credit transfer regulations (in Swedish).
Reading list and other teaching materials
Required Reading
Särndal, C-E, B. Swensson och J. Wretman (1992)
Model Assisted Survey Sampling
Springer-Verlag, New York